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<div class="title">NEConvolutionKernel.h</div>  </div>
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<a href="_n_e_convolution_kernel_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2016, 2017 ARM Limited.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_NECONVOLUTIONKERNEL_H__</span></div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor"></span><span class="preprocessor">#define __ARM_COMPUTE_NECONVOLUTIONKERNEL_H__</span></div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_n_e_kernel_8h.xhtml">arm_compute/core/NEON/INEKernel.h</a>&quot;</span></div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_n_e_simple_kernel_8h.xhtml">arm_compute/core/NEON/INESimpleKernel.h</a>&quot;</span></div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &lt;array&gt;</span></div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &lt;cstdint&gt;</span></div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;</div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="keyword">namespace </span>arm_compute</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;{</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="keyword">class </span>ITensor;</div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="comment">/****************************************************************************************\</span></div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="comment"> *                                    Square Convolution                                *</span></div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="comment">\****************************************************************************************/</span></div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size&gt;</div>
<div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">   55</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">INESimpleKernel</a></div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;{</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a230a4894adf8380eca9e8c2aac03e9b8">NEConvolutionKernel</a>();</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *conv, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2c08fc82f2e4b9733cd0dacd6eabe579">scale</a>, <span class="keywordtype">bool</span> border_undefined);</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>) <span class="keyword">override</span>;</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> OutputType&gt;</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    <span class="keywordtype">void</span> convolution(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;win);</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="keyword">protected</span>:</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    uint32_t _scale;                                             </div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    std::array&lt;int16_t, matrix_size *matrix_size&gt; _convolution;  </div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;};</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;</div>
<div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#acf81639b3d33b5da654ef088e4d10520">   84</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolution3x3Kernel</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel&lt;3&gt;</a>;</div>
<div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a21898b2d2e31ab9af8933c66ff82c8c6">   86</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolution5x5Kernel</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel&lt;5&gt;</a>;</div>
<div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ae46cbbe03d31c6c8e7eba7b58999842d">   88</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolution7x7Kernel</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel&lt;7&gt;</a>;</div>
<div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a1025306f820a9e76df7e5891caacff7b">   90</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolution9x9Kernel</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel&lt;9&gt;</a>;</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;<span class="comment">/****************************************************************************************\</span></div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;<span class="comment"> *                              Separable Square Convolution                            *</span></div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;<span class="comment">\****************************************************************************************/</span></div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size&gt;</div>
<div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">   98</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">INESimpleKernel</a></div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;{</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a965a154580e00968b45aa6268986cd51">NESeparableConvolutionHorKernel</a>();</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a2047b01f2cdd57602126cccb6bd08625">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *conv_row, <span class="keywordtype">bool</span> border_undefined);</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>) <span class="keyword">override</span>;</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> OutputType&gt;</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    <span class="keywordtype">void</span> convolve(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window);</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    std::array&lt;int16_t, matrix_size&gt; _conv_row; </div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> _border_size;                    </div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;};</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;</div>
<div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ac78a7593874c21cff86478c1ba6df27b">  130</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolution5x5HorKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel&lt;5&gt;</a>;</div>
<div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#aca4adbcd292c26b0e392c59875c1e926">  132</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolution7x7HorKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel&lt;7&gt;</a>;</div>
<div class="line"><a name="l00134"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a4ba5f6b7cd6b70b75e42149f3bc08f38">  134</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolution9x9HorKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel&lt;9&gt;</a>;</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size&gt;</div>
<div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">  138</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">INESimpleKernel</a></div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;{</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ac3aaa23fc2c41fdb7a6de14841631fbd">NESeparableConvolutionVertKernel</a>();</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ad5b2a12ea8d073422e0615efca68ee22">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *conv_col, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2c08fc82f2e4b9733cd0dacd6eabe579">scale</a>, <span class="keywordtype">bool</span> border_undefined);</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>) <span class="keyword">override</span>;</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> OutputType&gt;</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    <span class="keywordtype">void</span> convolution_u16(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;win);</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> OutputType&gt;</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    <span class="keywordtype">void</span> convolution_s16(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;win);</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> OutputType&gt;</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    <span class="keywordtype">void</span> convolution_s32(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;win);</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    std::array&lt;int16_t, matrix_size&gt; _conv_col; </div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;    uint32_t _scale;                            </div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;};</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;</div>
<div class="line"><a name="l00186"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ae4152320657df499674ed64b16c28a7b">  186</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolution5x5VertKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel&lt;5&gt;</a>;</div>
<div class="line"><a name="l00188"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a0f952bd0821b506e18514a3f4dbc6c39">  188</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolution7x7VertKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel&lt;7&gt;</a>;</div>
<div class="line"><a name="l00190"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a6310d21f215fface41df4cde725a62b9">  190</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolution9x9VertKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel&lt;9&gt;</a>;</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;<span class="comment">/****************************************************************************************\</span></div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;<span class="comment"> *                                 Rectangle Convolution                                *</span></div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;<span class="comment">\****************************************************************************************/</span></div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;</div>
<div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">  200</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">INEKernel</a></div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;{</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a437bfa972bdb089215368c344cce05d3">NEConvolutionRectangleKernel</a>();</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a437bfa972bdb089215368c344cce05d3">NEConvolutionRectangleKernel</a>(<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;) = <span class="keyword">delete</span>;</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a346f0286bbc7dc19e4aa25ae6acd57e8">operator=</a>(<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;) = <span class="keyword">delete</span>;</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a437bfa972bdb089215368c344cce05d3">NEConvolutionRectangleKernel</a>(<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a346f0286bbc7dc19e4aa25ae6acd57e8">operator=</a>(<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a3bb75d0640105ec72239550ec8a086b9">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *conv, uint32_t width, uint32_t height, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2c08fc82f2e4b9733cd0dacd6eabe579">scale</a>, <span class="keywordtype">bool</span> border_undefined);</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>) <span class="keyword">override</span>;</div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> get_index(uint32_t val);</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> OutputType, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> rows, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> cols&gt;</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    <span class="keywordtype">void</span> convolution(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;win);</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;<span class="keyword">protected</span>:</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a>            *_input;       </div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a>                  *_output;      </div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;    uint32_t                  _scale;       </div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;    std::vector&lt;int16_t&gt;      _convolution; </div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>                _border_size; </div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;    uint32_t                  _func_idx;    </div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;    <span class="keyword">const</span> <span class="keyword">static</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _nr_supported_sizes</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;    {</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;        4</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    }; </div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;};</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;} <span class="comment">// namespace arm_compute</span></div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_NECONVOLUTIONKERNEL_H__ */</span><span class="preprocessor"></span></div>
<div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_vert_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">arm_compute::NESeparableConvolutionVertKernel</a></div><div class="ttdoc">Kernel for the Vertical pass of a Separable Convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00138">NEConvolutionKernel.h:138</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">arm_compute::NEConvolutionKernel</a></div><div class="ttdoc">Interface for the kernel to run an arbitrary size convolution on a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00055">NEConvolutionKernel.h:55</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml_a8873a8f053f3d2322e297409645c6222"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222">arm_compute::NEConvolutionKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input, ITensor *output, const int16_t *conv, uint32_t scale, bool border_undefined)</div><div class="ttdoc">Initialise the kernel&#39;s input, output and border mode. </div></div>
<div class="ttc" id="_i_n_e_simple_kernel_8h_xhtml"><div class="ttname"><a href="_i_n_e_simple_kernel_8h.xhtml">INESimpleKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_hor_kernel_xhtml_a423f9a45a52983b4de5e2b347f4369c7"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">arm_compute::NESeparableConvolutionHorKernel::border_size</a></div><div class="ttdeci">BorderSize border_size() const override</div><div class="ttdoc">The size of the border for that kernel. </div></div>
<div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00136">Types.h:136</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_p_p_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">arm_compute::ICPPKernel</a></div><div class="ttdoc">Common interface for all kernels implemented in C++. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_p_p_kernel_8h_source.xhtml#l00035">ICPPKernel.h:35</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_vert_kernel_xhtml_a112b35dd205c62ea6ed1447ef226da82"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">arm_compute::NESeparableConvolutionVertKernel::run</a></div><div class="ttdeci">void run(const Window &amp;window, const ThreadInfo &amp;info) override</div><div class="ttdoc">Execute the kernel on the passed window. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_hor_kernel_xhtml_a112b35dd205c62ea6ed1447ef226da82"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">arm_compute::NESeparableConvolutionHorKernel::run</a></div><div class="ttdeci">void run(const Window &amp;window, const ThreadInfo &amp;info) override</div><div class="ttdoc">Execute the kernel on the passed window. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_rectangle_kernel_xhtml_a437bfa972bdb089215368c344cce05d3"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a437bfa972bdb089215368c344cce05d3">arm_compute::NEConvolutionRectangleKernel::NEConvolutionRectangleKernel</a></div><div class="ttdeci">NEConvolutionRectangleKernel()</div><div class="ttdoc">Default constructor. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_hor_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">arm_compute::NESeparableConvolutionHorKernel</a></div><div class="ttdoc">Kernel for the Horizontal pass of a Separable Convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00098">NEConvolutionKernel.h:98</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_p_p_simple_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">arm_compute::ICPPSimpleKernel</a></div><div class="ttdoc">Interface for simple NEON kernels having 1 tensor input and 1 tensor output. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_p_p_simple_kernel_8h_source.xhtml#l00034">ICPPSimpleKernel.h:34</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_rectangle_kernel_xhtml_a423f9a45a52983b4de5e2b347f4369c7"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">arm_compute::NEConvolutionRectangleKernel::border_size</a></div><div class="ttdeci">BorderSize border_size() const override</div><div class="ttdoc">The size of the border for that kernel. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_rectangle_kernel_xhtml_a346f0286bbc7dc19e4aa25ae6acd57e8"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a346f0286bbc7dc19e4aa25ae6acd57e8">arm_compute::NEConvolutionRectangleKernel::operator=</a></div><div class="ttdeci">NEConvolutionRectangleKernel &amp; operator=(NEConvolutionRectangleKernel &amp;)=delete</div><div class="ttdoc">Prevent instances of this class from being copied (As this class contains pointers) ...</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a096668313a9a819d54a2e65ec21ff0cc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info</a></div><div class="ttdeci">src info() -&gt; set_format(Format::S16)</div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_rectangle_kernel_xhtml_a3bb75d0640105ec72239550ec8a086b9"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a3bb75d0640105ec72239550ec8a086b9">arm_compute::NEConvolutionRectangleKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input, ITensor *output, const int16_t *conv, uint32_t width, uint32_t height, uint32_t scale, bool border_undefined)</div><div class="ttdoc">Initialise the kernel&#39;s input, output and border mode. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_rectangle_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">arm_compute::NEConvolutionRectangleKernel</a></div><div class="ttdoc">Kernel for the running convolution on a rectangle matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00200">NEConvolutionKernel.h:200</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml_a112b35dd205c62ea6ed1447ef226da82"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">arm_compute::NEConvolutionKernel::run</a></div><div class="ttdeci">void run(const Window &amp;window, const ThreadInfo &amp;info) override</div><div class="ttdoc">Execute the kernel on the passed window. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml_a423f9a45a52983b4de5e2b347f4369c7"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">arm_compute::NEConvolutionKernel::border_size</a></div><div class="ttdeci">BorderSize border_size() const override</div><div class="ttdoc">The size of the border for that kernel. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_hor_kernel_xhtml_a965a154580e00968b45aa6268986cd51"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a965a154580e00968b45aa6268986cd51">arm_compute::NESeparableConvolutionHorKernel::NESeparableConvolutionHorKernel</a></div><div class="ttdeci">NESeparableConvolutionHorKernel()</div><div class="ttdoc">Default constructor. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml_a230a4894adf8380eca9e8c2aac03e9b8"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a230a4894adf8380eca9e8c2aac03e9b8">arm_compute::NEConvolutionKernel::NEConvolutionKernel</a></div><div class="ttdeci">NEConvolutionKernel()</div><div class="ttdoc">Default constructor. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_vert_kernel_xhtml_ad5b2a12ea8d073422e0615efca68ee22"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ad5b2a12ea8d073422e0615efca68ee22">arm_compute::NESeparableConvolutionVertKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input, ITensor *output, const int16_t *conv_col, uint32_t scale, bool border_undefined)</div><div class="ttdoc">Initialise the kernel&#39;s input, output and border mode. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_vert_kernel_xhtml_ac3aaa23fc2c41fdb7a6de14841631fbd"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ac3aaa23fc2c41fdb7a6de14841631fbd">arm_compute::NESeparableConvolutionVertKernel::NESeparableConvolutionVertKernel</a></div><div class="ttdeci">NESeparableConvolutionVertKernel()</div><div class="ttdoc">Default constructor. </div></div>
<div class="ttc" id="structarm__compute_1_1_thread_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_thread_info.xhtml">arm_compute::ThreadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_types_8h_source.xhtml#l00058">CPPTypes.h:58</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_hor_kernel_xhtml_a2047b01f2cdd57602126cccb6bd08625"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a2047b01f2cdd57602126cccb6bd08625">arm_compute::NESeparableConvolutionHorKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input, ITensor *output, const int16_t *conv_row, bool border_undefined)</div><div class="ttdoc">Initialise the kernel&#39;s input, output and border mode. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_vert_kernel_xhtml_a423f9a45a52983b4de5e2b347f4369c7"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">arm_compute::NESeparableConvolutionVertKernel::border_size</a></div><div class="ttdeci">BorderSize border_size() const override</div><div class="ttdoc">The size of the border for that kernel. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_rectangle_kernel_xhtml_a112b35dd205c62ea6ed1447ef226da82"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">arm_compute::NEConvolutionRectangleKernel::run</a></div><div class="ttdeci">void run(const Window &amp;window, const ThreadInfo &amp;info) override</div><div class="ttdoc">Execute the kernel on the passed window. </div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a2c08fc82f2e4b9733cd0dacd6eabe579"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2c08fc82f2e4b9733cd0dacd6eabe579">arm_compute::test::validation::reference::scale</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; scale(const SimpleTensor&lt; T &gt; &amp;in, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, T constant_border_value)</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_scale_8cpp_source.xhtml#l00039">Scale.cpp:39</a></div></div>
<div class="ttc" id="_i_n_e_kernel_8h_xhtml"><div class="ttname"><a href="_i_n_e_kernel_8h.xhtml">INEKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_a3f5646133956f06348b310ccc3d36353"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window &amp; window() const </div><div class="ttdoc">The maximum window the kernel can be executed on. </div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div>
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